To compare primary care for depression among patients detected in the first 21 months of the SARS-CoV-2 pandemic to patients detected pre-pandemic, and examine whether depression care was associated with patient characteristics.

Retrospective pre–post study using de-identified data from electronic medical record data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).

Primary care clinics enrolled in CPCSSN from 1 January 2018 to 31 December 2021.

Patients with a valid CPCSSN case definition of depression detected between 01 January 2018 and 31 December 2021 were included in the cohort and categorised by detection date (pre-pandemic or during Canadian pandemic waves).

Primary care encounters, psychotropic prescriptions and selective serotonin reuptake inhibitor (SSRI) prescriptions were observed at 3 and 12 months post-detection. Multivariable regression evaluated associations between patients’ depression detection timing and depression care, adjusting for age, sex, rurality, neighbourhood deprivation quintile, province, number of observable comorbidities and pre-detection psychotropic use.

91 453 patients with depression were identified, of whom 53% were detected pre-pandemic. Patients detected during the pandemic were younger and less comorbid than those detected pre-pandemic. Proportions of patients with any encounter, psychotropic prescriptions and SSRI prescriptions were higher for patients detected during every pandemic wave compared with patients detected pre-pandemic. The adjusted incidence rate ratios (aIRRs) of number of encounters (aIRR=1.15; 95% CI 1.13 to 1.17), psychotropics (aIRR=1.11, 95% CI 1.09 to 1.13) and SSRIs prescribed (aIRR=1.12; 95% CI 1.10 to 1.15) within 3 months of detection were higher among patients detected during the first pandemic wave compared with those detected pre-pandemic. Socio-demographic characteristics had weaker associations with outcomes compared with timing of detection. Results were similar within 12 months of detection.

Overall, primary care for depression was maintained during the pandemic despite challenging circumstances. Increases in paediatric encounter rates and increased prescribing in younger adults warrant further investigation to understand the factors driving these patterns.

ClinicalTrials.gov NCT05813652.

Most older adults living in residential aged care facilities (RACFs) have at least one marker of potentially suboptimal prescribing. Pharmacists play a crucial role in medication management, with their effectiveness enhanced by using computerised decision support tools. The Pharmacists Review to Optimise Medicines in Residential Aged Care (PROMPT-RC) study aims to optimise medicine use by providing pharmacists in RACFs with an electronic medicine management app with integrated decision support (AusTAPER App/Pathway) to use as part of medication reviews they undertake.

The PROMPT-RC study is a parallel cluster randomised controlled trial design involving Australian RACFs. It will assess if pharmacists’ use of the AusTAPER App/Pathway for medication reviews improves medication regimens for RACF residents compared with usual care. Pharmacists in RACFs randomised to the intervention arm will be trained to use the AusTAPER App/Pathway, which flags potentially inappropriate medicines (PIMs) across a person’s entire medicine regimen. Pharmacists in RACFs randomised to the control arm will not have access to the AusTAPER App/Pathway—they will continue to provide usual care. The primary outcome is the difference in the number of regular medicines between treatment arms at 12 months. Secondary outcomes will measure the number of regular and pro re nata medicines, PIMs, medicine administration times, medicine regimen complexity, use of antipsychotics, antidepressants, and benzodiazepines, quality of life, mortality, instances of physical restraint, and the number of falls, hospitalisations and general practitioner/health professional visits. The cost-effectiveness of the AusTAPER App/Pathway compared with usual care will be calculated. Data collection will occur at baseline, 3, 6, 9 and 12 months postrandomisation and 3 and 6 months prebaseline. We aim to recruit 668 participants to adjust for an estimated 10% loss to follow-up, giving 334 participants in each arm. Data analysis will follow an intention-to-treat approach using a linear mixed model.

Ethical approval was obtained from The University of Western Australia Human Research Ethics Committee (Reference: 2024/ET000525; approved 14 August 2024). Reciprocal approval was also obtained in other states. This study is registered on the Australian New Zealand Clinical Trials Registry (https://anzctr.org.au). Trial findings will be disseminated through national and international peer-reviewed publications and conferences.

ACTRN12624001409561.